TRICHOLENS An Artificial Intelligence Enabled Mobile Application to Enhance the Diagnostic Utility of Trichoscopy in Dermatological Practice
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Demonstrate high sensitivity and specificity in detecting early AGA, improving diagnostic accuracy.
研究概览
简要总结
Androgenetic alopecia (AGA) is the most common type of hair loss, affecting both men and women. Early diagnosis is critical to slow its progression, yet identifying AGA in its initial stages can be challenging. Trichoscopy, a non-invasive tool that uses dermoscopy to examine the scalp and hair, is increasingly used for diagnosing AGA, but it requires significant expertise. Misinterpretation of trichoscopic images can lead to delayed diagnosis and treatment.
TRICHOLENS aims to bridge this gap by leveraging artificial intelligence (AI) to assist dermatologists in the early detection of AGA. The app will analyze trichoscopy images using machine learning algorithms to recognize early signs of alopecia, distinguishing them from a normal scalp or other hair loss conditions. This approach can reduce subjectivity in diagnosis and improve consistency across different clinicians.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 盲法
- None
入排标准
- 年龄范围
- 18.00 Year(s) 至 40.00 Year(s)（—）
- 性别
- All
入选标准
- •Presenting with concerns of hair loss or scalp abnormalities.
- •Willing to provide consent for scalp imaging and participation in the study.
- •No previous diagnosis or treatment for AGA.
排除标准
- •Previous treatments for AGA (e.g., minoxidil or finasteride) within the last six months.
- •Any skin condition that may interfere with scalp imaging (e.g., active psoriasis, eczema).
- •Unwillingness to Participate: Patients unwilling to participate in the study or to give informed consent.
- •Experimental Treatments: Patients enrolled in other clinical trials for experimental hair loss treatments may be excluded to prevent confounding factors.
结局指标
主要结局
Demonstrate high sensitivity and specificity in detecting early AGA, improving diagnostic accuracy.
时间窗: 1 week
Reduce the time required for dermatologists to interpret trichoscopic images.
时间窗: 1 week
Improve the consistency of diagnoses between dermatologists, reducing variability in clinical decision-making.
时间窗: 1 week
Enable early intervention and treatment of AGA, resulting in better patient outcomes, especially in cases where early signs of hair thinning are subtle.
时间窗: 1 week
次要结局
- To make the diagnosis of early Androgenetic alopecia easier.(A study tool for all budding dermatologists.)
研究者
Ragadharshini Eswaran
Saveetha medical college and hospital, Saveetha institute of medical and technical sciences.